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  • 1. TSB / MEDIA ProjectImage Processing for digital stores and Usage tracking
  • 2. Problem● Cultural Institutions have rich collections of digital assets, but there are many unknowns around opening up these assets for public consumption.● There is a great deal of [conflicting] pressure on these institutions to (a) Openly share both metadata and resources and (b) be come financially self sustaining
  • 3. MEDIA● Supports institutions in making informed choices and supporting their chosen strategy● From Selling images (Soutron Side)● Through to watermarking, steganogoraphy and provenance tracking
  • 4. Vision● Cloud hosted secured image repository that can be configured against a host collection management system after a CC “Paywall”● Zero local install● Ability to manage multiple collections and systems, with differing rules and processes
  • 5. Note● Following screen captures are a loose interface on top of MEDIA services● Our focus has been on configurable parameter driven adapters that can harvest metadata into a canonical form for image processing● The screens represent a [rough] attempt to visualise how a product might look.
  • 6. Accounts create contextsDefined by URLHere – default “admin” context
  • 7. Contexts contain stores, root of URLsHere /knowledgeintegration context
  • 8. Ingest● The process of synchronizing the media repository with a host institutions collections and digital assets.● Extensible system of “Connectors” for extracting image resources and metadata from a wide range of collection management systems
  • 9. Stores contain resources,Define ConnectorsAllow resource upload
  • 10. Add connector – Wire this store upTo a collections management systemOr other source
  • 11. Ingest Processing● Majority of our work here – Flexible (DSL) driven tool for – Image format translation – Image Metadata Generation & Embedding – Steg Hide Identifiers in Document & Metadata – Create Variants: Resize, Watermarks, Add Metadata, Create Thumbs [& Pyramidal Tiffs] – Record locally and Index for Store –
  • 12. Stores contain images,Configure rules,Define connectors,Allow individual upload(Watermarked rezisedthumbs)
  • 13. View original full size - But with full(Configurable) visible watermark
  • 14. Result of “Purchase” link:[Really new copy function] - New Copy “Item” [FRBR] – Newly minted embedded item copy code [GUID] No Visible WatermarkCopy/Item specific XMP and EXIF metadata for item Steg hidden ID of new item Image is unique to this occurrence of a purchase, Can be linked back to purchaser Embedded metadata includes docid – OneOf our toys is an image spider - but Google Search?
  • 15. Use steg information to find original “Buyer”
  • 16. Doc owner tool - System uses steg to extract copied doc IDand tells us who copied/purchased it originally
  • 17. Unified SearchingSurfacing MEDIA functionality in end user applications
  • 18. Because properties like price are now user dependent Physical union catalogues cannot be used hereThis tool uses a map-reduce approach to x-search, collating results from several sources and making use Of web-scale clustered architectures. Old style x-search did not scale well to cloud infrastructure (Session pinning problem)
  • 19. Result from soutron – Price per user, Metadata profile for purchase info NCMG Result, no buy But image secured, vis WM, Steg API At work – Facets, Sort, Cache
  • 20. Other toys● Spider that finds copies of images – Even better when google/other engines support EXIF metadata search – Still useful concept – Report on all copies of an image